ddpsc_phenotypercv
Plant imaging library
A header-only C++11 library that provides image processing functionality for plant phenotyping using OpenCV.
Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping
4 stars
2 watching
0 forks
Language: C++
last commit: over 2 years ago
Linked from 1 awesome list
charucocolor-correctionhigh-throughputimage-processingmachine-learningopencvplant-phenotyping
Related projects:
Repository | Description | Stars |
---|---|---|
danforthcenter/plantcv | An image analysis software package for plant phenotyping, providing a modular architecture and flexible workflow for various analysis techniques. | 662 |
p2irc/deepplantphenomics | A Python-based platform for plant phenotyping using deep learning and neural networks. | 135 |
gregor-mendel-institute/aradeepopsis | A tool for extracting phenotypic measurements from plant images using deep learning and computer vision techniques | 41 |
openseg-group/openseg.pytorch | Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,190 |
computational-plant-science/dirt | Automates root trait analysis from images of monocot and dicot roots using computer vision and image processing techniques. | 25 |
jesolem/pcv | A Python module for computer vision tasks | 1,921 |
robinrodricks/inspiritimage | A collection of algorithms and tools for image processing and analysis | 3 |
carlosmccosta/pcl | A software library for processing 2D and 3D image data into meaningful representations. | 0 |
jrobchin/computer-vision-basics-with-python-keras-and-opencv | An educational tutorial on computer vision and machine learning with Python, Keras, and OpenCV, including gesture recognition as a demo project. | 430 |
jcupitt/libvips | An image processing library with low memory needs | 50 |
kmhofmann/selene | An image representation, processing and I/O library with a focus on ease of use and type-safe APIs. | 303 |
donnyyou/pytorchcv | A PyTorch-based framework for building and training deep learning models in computer vision. | 47 |
jbohnslav/opencv_transforms | An OpenCV-based implementation of PyTorch's image augmentation transforms for fast and efficient data preprocessing in computer vision pipelines. | 377 |
cmsflash/beauty-net | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
gwgundersen/dpcca | Develops a method to learn shared latent structure between biomedical images and gene expression data | 25 |